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Tropical forest structure characterization using airborne lidar data: an individual tree level approach / António Ferraz (dec 2015)
Titre : Tropical forest structure characterization using airborne lidar data: an individual tree level approach Type de document : Article/Communication Auteurs : António Ferraz , Auteur ; Sassan Saatchi, Auteur ; Clément Mallet , Auteur ; Victoria Meyer, Auteur Editeur : Washington DC [Maryland - Etats-Unis] : American Geophysical Union AGU Année de publication : dec 2015 Conférence : AGU 2015 Fall Meeting 14/10/2015 18/12/2015 San Francisco Californie - Etats-Unis Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] arbre (flore)
[Termes IGN] biomasse aérienne
[Termes IGN] distribution spatiale
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt tropicale
[Termes IGN] hauteur des arbres
[Termes IGN] houppier
[Termes IGN] Panama
[Termes IGN] segmentation
[Termes IGN] semis de points
[Termes IGN] structure d'un peuplement forestierRésumé : (auteur) Fine scale tropical forest structure characterization has been performed by means of field measurements techniques that record both the specie and the diameter at the breast height (dbh) for every tree within a given area. Due to dense and complex vegetation, additional important ecological variables (e.g. the tree height and crown size) are usually not measured because they are hardly recognized from the ground. The poor knowledge on the 3D tropical forest structure has been a major limitation for the understanding of different ecological issues such as the spatial distribution of carbon stocks, regeneration and competition dynamics and light penetration gradient assessments. Airborne laser scanning (ALS) is an active remote sensing technique that provides georeferenced distance measurements between the aircraft and the surface. It provides an unstructured 3D point cloud that is a high-resolution model of the forest. This study presents the first approach for tropical forest characterization at a fine scale using remote sensing data. The multi-modal lidar point cloud is decomposed into 3D clusters that correspond to single trees by means of a technique called Adaptive Mean Shift Segmentation (AMS3D). The ability of the corresponding individual tree metrics (tree height, crown area and crown volume) for the estimation of above ground biomass (agb) over the 50 ha CTFS plot in Barro Colorado Island is here assessed. We conclude that our approach is able to map the agb spatial distribution with an error of nearly 12% (RMSE=28 Mg ha-1) compared with field-based estimates over 1ha plots. Numéro de notice : C2015-033 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : sans En ligne : https://agu.confex.com/agu/fm15/meetingapp.cgi/Paper/75802 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83298 An inventory of the above ground biomass in the Mau Forest Ecosystem, Kenya / Mwangi James Kinyanjui in Open journal of forestry, vol 4 n° 10 (July 2014)
[article]
Titre : An inventory of the above ground biomass in the Mau Forest Ecosystem, Kenya Type de document : Article/Communication Auteurs : Mwangi James Kinyanjui, Auteur ; Petri Latva-Kayra, Auteur ; Prasad Sah Bhuwneshwar, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 619 - 627 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] allométrie
[Termes IGN] biomasse aérienne
[Termes IGN] échantillon
[Termes IGN] forêt
[Termes IGN] gaz à effet de serre
[Termes IGN] image ALOS-AVNIR2
[Termes IGN] Kenya
[Termes IGN] régression linéaireRésumé : (auteur) Biomass assessment of the Mau Forest Ecosystem (MFE) was done as part of Kenya’s greenhouse gas inventory. Trans Mara and Mount Londiani forest blocks representing extremes of vegetation types in the MFE were selected for ground data. Based on canopy closure, four forest strata were identified as very dense, moderately dense, open and bamboo. In each stratum, 5 clusters each with 4 plots measuring 30 m × 30 m were located. Big trees (D1.3 ≥ 10 cm) were measured per species for diameter at breast height (D1.3) in the whole plot while height was measured for every 5th tree. Poles (10 cm > D1.3 ≤ 5) were measured for D1.3 in a 10 × 10 m concentric sub plot. Saplings (5 cm > D1.3; ht ≥ 1.5 m) and seedlings (ht Numéro de notice : A2014-792 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.4236/oje.2014.410052 En ligne : http://dx.doi.org/10.4236/oje.2014.410052 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80344
in Open journal of forestry > vol 4 n° 10 (July 2014) . - pp 619 - 627[article]Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals / Tristan Allouis in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol 6 n° 2 part 3 (April 2013)
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Titre : Stem volume and above-ground biomass estimation of individual pine trees from LiDAR data: contribution of full-waveform signals Type de document : Article/Communication Auteurs : Tristan Allouis, Auteur ; Sylvie Durrieu, Auteur ; Cédric Vega , Auteur ; Pierre Couteron, Auteur Année de publication : 2013 Article en page(s) : pp 924 - 934 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] carte de la végétation
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] estimation statistique
[Termes IGN] forme d'onde pleine
[Termes IGN] modèle mathématique
[Termes IGN] Pinus (genre)
[Termes IGN] signal lidar
[Termes IGN] volume en boisRésumé : (auteur) The diameter at breast height (DBH) is the most extensively measured parameter in the field for estimating stem volume and aboveground biomass of individual trees. However, DBH can not be measured from airborne or spaceborne light detection and ranging (LiDAR) data. Consequently, volume and biomass must be estimated from LiDAR data using other tree metrics. The objective of this paper is to examine whether full-waveform (FW) LiDAR data can improve volume and biomass estimation of individual pine trees, when compared to usual discrete-return LiDAR data. Sets of metrics are derived from canopy height model (CHM-only metrics), from the vertical distribution of discrete-returns (CHM+DR metrics), and from full-waveform LiDAR data (CHM+FW metrics). In each set, the most relevant and non-collinear metrics were selected using a combination of methods using best subset and variance inflation factor, in order to produce predictive models of volume and biomass. CHM-only metrics (tree height and tree bounding volume [tree height x crown area] provided volume and biomass estimates of individual trees with an error (mean error ± standard deviation) of 2% ± 26% and -15% ±49%, which is equivalent to previous studies. CHM+FW metrics did not improve stem volume estimates (5% ± 31%), but they increased the accuracy of aboveground biomass estimates ( -4%±31%). The approach is limited by the delineation of individual trees. However, the results highlight the potential of full-waveform LiDAR data to improve aboveground biomass estimates through a better integration of branch and leaf biomass than with discrete-return LiDAR data. Numéro de notice : A2013-053 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/JSTARS.2012.2211863 Date de publication en ligne : 27/09/2012 En ligne : http://doi.org/10.1109/JSTARS.2012.2211863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84586
in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing > vol 6 n° 2 part 3 (April 2013) . - pp 924 - 934[article]
Titre : Feasibility of terrestrial laser scanning for plotwise forest inventories Type de document : Thèse/HDR Auteurs : Xinlian Liang, Auteur ; Henrik Haggren, Directeur de thèse Editeur : Helsinki : Finnish Geodetic Institute FGI Année de publication : 2013 Collection : Publications of the Finnish Geodetic Institute, ISSN 0085-6932 num. 149 Importance : 150 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-951-711-299-4 Note générale : bibliographie, ISBN du pdf
Department of Real Estate, Planning and Geoinformatics, Aalto UniversityLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] détection de changement
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Finlande
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] semis de points
[Termes IGN] volume en boisRésumé : (auteur) Detailed, up-to-date forest information is increasingly important in quantitative forest inventories. The accuracy of the information retrieval is highly dependent on the quality and quantity of the reference data collected on field sample plots. In practice, the plotwise forest data are used as a reference for the calibration of large-area inventory data measured by aerial and space-borne remote sensing techniques. Field reference data are conventionally collected at the sample plot level by manual measurements. Because of the high costs and labor intensity of manual measurements, the number of tree attributes collected is limited. Some of the most important tree attributes are not even measured or sampled.
Terrestrial laser scanning (TLS) has been recently shown to be a promising technique for forest-related studies. Many tree attributes have been correlated with measurements from TLS data. Numerous TLS methods have been proposed. 6However, the feasibility of applying TLS in plotwise forest inventories is still unclear. The major missing factor is automation of data processing. Other factors hampering the acceptance of the technology include the relatively high cost of the TLS instrument, the low measurement accuracy achieved using the automated data processing currently available, and the shortage of experimental results related to the retrieval of advanced stem attributes (e.g., stem curve) and to different forest conditions.
In this study, a series of methods to map sample plots were developed, and their applicability in plotwise forest inventories was analyzed. The accuracy of stem mapping, the efficiency of data collection, and the limitations of the techniques were discussed. The results indicate that TLS is capable of documenting a forest sample plot in detail and that automated mapping methods yield accurate measurements of the most important tree attributes, such as diameter at breast height and stem curve. The fully-automated TLS data processing that was developed in this study resulted in measurement accuracy similar to that of manual measurements using conventional tools or models and of manual measurements from point cloud data. The results of this study support the feasibility of TLS for practical forest field inventories.
Further research is needed to explore new protocols for the application of TLS in field inventories. Three possible new directions are the integration of detailed tree attributes (e.g., stem curve, volume, and biomass) in large-area inventories, the utilization of TLS field plots in national forest inventories, and the mapping of large sample plots, e.g., in operational harvest planning. More studies need to be performed on sample plots under different forest conditions (development class, tree species, and amount of ground vegetation).Numéro de notice : 26025 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Thèse étrangère En ligne : https://aaltodoc.aalto.fi/bitstream/handle/123456789/11355/isbn9789517112994.pdf [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93651 Carbon Stock of European Beech Forest : A Case at M. Pizzalto, Italy / Aida Taghavi Bayat in APCBEE Procedia, vol 1 (2-20)
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Titre : Carbon Stock of European Beech Forest : A Case at M. Pizzalto, Italy Type de document : Article/Communication Auteurs : Aida Taghavi Bayat, Auteur ; Hein van Gils, Auteur ; Michael Weir, Auteur Année de publication : 2012 Article en page(s) : pp 159 - 168 Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique
[Termes IGN] biomasse aérienne
[Termes IGN] Enhanced vegetation index
[Termes IGN] Fagus (genre)
[Termes IGN] image Terra-MODIS
[Termes IGN] Italie
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] puits de carbone
[Termes IGN] régression linéaire
[Termes IGN] saison
[Termes IGN] teneur en carbone
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) In order to estimate carbon stock in above ground biomass (CS-AGB) of M. Pizzalto forest in the Central-Apennines in Italy, the moderate resolution imaging spectroradiometer (MODIS) vegetation index data (NDVI and EVI) were used in combination with field data. Biotic and abiotic parameters (slope angle, slope gradient, elevation, seasonal incoming solar radiation, length of growing season (LGS), soil type and forest management type) has been used in the modelling. NDVI and EVI values of field samples were extracted and used to estimate the LGS of beech forest for the six year period (2005-2010). Two management types, old-growth forest and young forest, showed average AGB and CS-AGB were 247 and 123 tons.ha-1 respectively in 2010 comparable to values for beech forests in the Apennines and Europe. LGS and management are the significant variables in a linear regression model for CS - AGB. Therefore, the forest authority can manage the young forest as sinks of carbon in agreement with the Kyoto protocol of the United Nations Framework Convention on Climate Change (UNFCCC). Numéro de notice : A2012-693 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.apcbee.2012.03.026 En ligne : https://doi.org/10.1016/j.apcbee.2012.03.026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74830
in APCBEE Procedia > vol 1 (2-20) . - pp 159 - 168[article]Comparing small-footprint lidar and forest inventory data for single strata biomass estimation : A case study over a multi-layered mediterranean forest / António Ferraz (2012)PermalinkDiversity and primary productivity of hill beech forests from Doftana Valley (Romanian Subcarpathians) / Mihaela Pauca-Comanescu in Annals of forest research, vol 52 n° 1 (January 2009)PermalinkSensitivity of space-borne SAR data to forest parameters over sloping terrain : Theory and experiment / Thierry Castel in International Journal of Remote Sensing IJRS, vol 22 n° 12 (August 2001)Permalink